New or Old? Exploring How Pre-Trained Language Models Represent Discourse Entities (2022.coling-1)
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| Challenge: | Recent research shows pre-trained language models learn to encode syntactic knowledge to a certain degree. |
| Approach: | They propose to investigate the information-status of entities as discourse-new or discourse-old . they use binary classification and sequence labeling to investigate their ability to encode syntactic knowledge . |
| Outcome: | The proposed models encode information on whether an entity has been introduced before or not in the discourse. |
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